Computer Engineering Department

Social Media(CNT416)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
CNT416 Social Media 8 2 0 0 2 2
Prerequisites
Admission Requirements
Language of Instruction French
Course Type Elective
Course Level Bachelor Degree
Course Instructor(s) N. Sultan TURHAN sturhan@gsu.edu.tr (Email)
Assistant
Objective The purpose of the Social Media course is to give a different perspective to the students of Computer Engineering about the Social Networks wich open up a new dimension in their own professional research / study fields.
Social Media has changed the practices of both daily and business life and has become an important part of communication strategies. During the course, its media concept, social networking features and their usage in different areas will be discussed.
The lessons will be processed with a narrowing perspective from general to a specific point of view and will be presented in 3 main sections. These sections, which have a sociological, mediatic and informational perspective, will be narrated in a flow that is directly related to each other, on which the different features of social media will be discovered by Computer Engineering students.
Content Week 1: Historical articulation of agricultural, industrial and information societies
Week 2: Understanding the contemporary world: Conceptual, economic and moral components of post-industrial society
Week 3: Human interaction in information system: social meanings and functions of social media
Week 4: The effects of social media on the individual
Week 5: The impact of social media on society
Week 6: The reality experiences of the information society: Representation of the virtual reality
Week 7: Social media as new public space and politics
Week 8: Midterm Exam
Week 9: A new media campaign: Social Media
Week 10: Changing paradigms of social media and persuasion strategies:
Week 11: Social media and digital marketing
Week 12: The formation and strategic use of "Big Data" over networks
Week 13: Examination of social networks - Large Data Analysis
Week 14: Examination of Social Networks - Complex Network Analysis
Course Learning Outcomes Explain what the concept of social media is and how interaction takes place in social media
Describe the development of social media and the basic concepts of social media.
Describe the effects of social media on individuals and society.
It may explain the communication process in social media.
Explain different social media tools and their uses.
Describe the use of social media in the field of public relations.
Describe the processes of analysis, measurement and reporting in social media.
Teaching and Learning Methods Lecture, Question and Answer, Discussion
Midterm Exam, Research, Presentation, Final Exam
References 1. Boyd, D. (2014). It's complicated: The social lives of networked teens. Yale University Press.
2. Perrin, A. (2015). Social media usage. Pew Research Center.
3.Scott, D. M. (2015). The new rules of marketing and PR: How to use social media, online video, mobile applications, blogs, news releases, and viral marketing to reach buyers directly. John Wiley & Sons.
4. Fuchs, C. (2017). Social media: A critical introduction. Sage.
5.Ruths, D., & Pfeffer, J. (2014). Social media for large studies of behavior. Science, 346(6213), 1063-1064.
Print the course contents
Theory Topics
Week Weekly Contents
1 Historical articulation of agricultural, industrial and information societies
2 Understanding the contemporary world: Conceptual, economic and moral components of post-industrial society
3 Human interaction in information system: social meanings and functions of social media
4 The effects of social media on the individual
5 The impact of social media on society
6 The reality experiences of the information society: Representation of the virtual reality
7 Social media as new public space and politics
8 Midterm Exam
9 A new media campaign: Social Media
10 Changing paradigms of social media and persuasion strategies
11 Social media and digital marketing
12 The formation and strategic use of "Big Data" over networks Week 13: Examination of social networks - Large Data Analysis Week 14: Examination of Social Networks - Complex Network Analysis
13 Examination of social networks - Large Data Analysis
14 Examination of Social Networks - Complex Network Analysis
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 12 60
Contribution of final exam to overall grade 1 40
Toplam 13 100
In-Term Studies
  Number Contribution
Assignments 10 20
Presentation 1 20
Midterm Examinations (including preparation) 1 20
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 12 60
No Program Learning Outcomes Contribution
1 2 3 4 5
1 Matematik, fizik ve mühendislik bilimlerine özgü konularda yeterli bilgi birikimi; bu alanlardaki kuramsal ve uygulamalı bilgileri, mühendislik problemlerinin modellenmesi ve çözümünde kullanabilme becerisi.
2 Karmaşık bilgisayar mühendisliği problemlerini saptama, tanımlama, formüle etme ve çözme becerisi; bu amaçla uygun analiz ve modelleme yöntemlerini seçme ve uygulama becerisi.
3 Yazılımsal veya donanımsal karmaşık bir sistemi, süreci veya donanımı gerçekçi kısıtlar ve koşullar altında, belirli gereksinimleri karşılayacak şekilde tasarlama becerisi; bu amaçla modern tasarım yöntemlerini uygulama becerisi. X
4 Mühendislik uygulamalarında karşılaşılan karmaşık problemlerin analizi ve çözümü için gerekli olan modern teknik ve araçları geliştirme, seçme ve kullanma becerisi; bilişim teknolojilerini etkin bir şekilde kullanma becerisi. X
5 Analitik düşünce ile bir sistemi, sistem bileşenini ya da süreci analiz etme, modelleme, deney tasarlama ve yapma, veri toplama, çözüm algoritmaları üretebilme, uygulamaya alma ve geliştirme becerileri. X
6 Disiplin içi ve çok disiplinli takımlarda etkin biçimde çalışabilme becerisi; bireysel çalışma becerisi. X
7 Türkçe sözlü ve yazılı etkin iletişim kurma becerisi; en az iki yabancı dil bilgisi; etkin rapor yazma ve yazılı raporları anlama, yazılım ve donanım tasarımını, gerekirse teknik resim metotları kullanarak raporlayabilme, etkin sunum yapabilme becerisi. X
8 Bilgiye erişebilme ve bu amaçla kaynak araştırması yapabilme, veri tabanları ve diğer bilgi kaynaklarını kullanabilme becerisi X
9 Yaşam boyu öğrenmenin gerekliliği bilinci; kendini sürekli yenileme becerisi. X
10 Mesleki etik ilkelerine uygun davranma, mesleki sorumluluk bilinci; mühendislik uygulamalarında kullanılan standartlar hakkında bilgi. X
11 Proje yönetimi, risk yönetimi ve değişiklik yönetimi gibi, iş hayatındaki uygulamalar hakkında bilgi; girişimcilik, yenilikçilik hakkında farkındalık; sürdürülebilir kalkınma hakkında bilgi. X
Activities Number Period Total Workload
Class Hours 39 1 39
Total Workload 39
Total Workload / 25 1,56
Credits ECTS 2
Scroll to Top